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Just over two weeks left to submit to our "𝐍𝐞𝐮𝐫𝐨 𝐟𝐨𝐫 𝐀𝐈 & 𝐀𝐈 𝐟𝐨𝐫 𝐍𝐞𝐮𝐫𝐨" workshop at AAAI 2026 in Singapore! The deadline is October 30, 2025. 🔗 Submission Link: openreview.net/group?id=AAAI.… 🌐 Workshop Website: neuroai-multimodal-workshop.github.io
The full list of speakers for our "𝐍𝐞𝐮𝐫𝐨 𝐟𝐨𝐫 𝐀𝐈 & 𝐀𝐈 𝐟𝐨𝐫 𝐍𝐞𝐮𝐫𝐨" Workshop at AAAI2026 is out! See the image here and neuroai-multimodal-workshop.github.io 🗓️: Jan 27, 2026 🧭: Singapore Submissions of papers and abstract by 10/30/2025: openreview.net/group?id=AAAI.… #NeuroAI
Amazing paper. All the good stuff: brain dynamics, state trajectories, embedding, links to arousal, tracking full dynamic state with a single measurement. nature.com/articles/s4158…
I still get chills Meet Mike *30+ years severe depression *first hospitalized @ 13y *20 meds *3 rounds of ECT *2 near-fatal suicide attempts Mike felt joy for the first time in decades after we turned on his new brain pacemaker or PACE see paper, thread doi.org/10.31234/osf.i…
We're excited to announce the Brain-to-Text '25 competition, with a new intracortical speech neuroscience dataset and $9,000 in prizes generously provided by @BlackrockNeuro_!. Can you do better than us at decoding speech-related neural activity into text? kaggle.com/competitions/b…
📢 Call for Papers: NeurReps 2025 ‼️‼️‼️ 🧠 Submit your research on symmetry, geometry, and topology in artificial and biological neural networks. Two tracks: Proceedings (9 pages) and Extended Abstract (4 pages). Deadline: Aug 22, 2025. neurreps.org/call-for-papers
Ready to explore? Start here to learn more, request access, or browse the data: docs.hbcdstudy.org nbdc-datahub.org #HBCDStudy #Neurodevelopment #OpenScience #NIH #BigData #ChildHealth #EarlyLife Thanks for all the support to make this happen @UMN_MIDB
Poor sleep is associated with brain shrinkage
Linking Brain Entropy to Molecular and Cellular Architecture in Psychosis biorxiv.org/content/10.110… #biorxiv_neursci
And if you’re curious at all about what thought went into this series of videos (and why I call it data-driven motion design and not just 3D animation like a normal person), I’ve described the creative process here: sloant.substack.com/p/behind-the-s…
“When I draw a molecule in China or in Argentina, it is the same molecule. People understand immediately without knowing Spanish or Chinese. That is beautiful. Our common goal is not about power or borders of the country, it is about bringing forward human knowledge.” - Ben…
Quiet interesting research
I injected the horse tranquilizer Ketamine and tracked my brain data for 15 days. It completely scrambled my brain. In a world-first we answered the question ‘what happens to the brain before, during, and after ketamine treatment?’ We also discovered how long it took for my…
Very pleased to announce the release of the NYU fastMRI breast dataset, which includes k-space data and reconstructions for 300 ultrafast breast MRIs with radial acquisition, including case labels. We hope to see what you can build with it.
The fastMRI dataset now includes breast data! Lead author @ESolomonMRI & sr. author @heacockmd explain what makes the fastMRI breast data unique: cai2r.net/fastmri-datase… +@DrLindaMoy &al., @NYUImaging @nyugrossman @WeillCornell @UniFAU #AI #ML #innovation #MRI #BreastCancer 1/3
The highest-resolution MRI scan of a human brain ever, capturing details as small as 100-microns, achieved with a 7-tesla magnet and custom software by researchers at Massachusetts General Hospital.
A well-executed network energy analysis on the ABCD project with interesting results!
Altered Functional Network Energy Across Multiscale Brain Networks in Preterm vs. Full-Term Subjects: Insights from the Adolescent ... biorxiv.org/content/10.110… #biorxiv_neursci
A new insight into understanding ASD.
Happy to have this published ...finally. Have a look if you are interested in understanding cortical columns, microcircuits, and the thalamus. Stay tuned for threads unpacking the paper... @lazarox8 @antoine_dedieu @jl_marino @ScienceAdvances science.org/doi/10.1126/sc…
In this lecture, I talk about the "curious" observation in vision that, if you "pay" upfront (in the No Free Lunch sense) with a hierarchical CNN inductive bias, you get back strong neural predictions of the intermediate layers, solely through task-optimization at the top layer.
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